What are the hardware requirements for Qwen2.5 Coder 7B NEP?

Qwen2.5 Coder 7B NEP requires approximately 15.2 GB of VRAM and supports a context window of 32K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Qwen2.5 Coder 7B NEP and how large is it?

Qwen2.5 Coder 7B NEP is developed by lurf21, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Qwen2.5 Coder 7B NEP?

Qwen2.5 Coder 7B NEP is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Qwen2.5 Coder 7B NEP by lurf21 — VRAM 15.2GB, 32K context

Name: Qwen2.5 Coder 7B NEP
Author: lurf21

Qwen2.5 Coder 7B NEP is an open-source language model by lurf21. Features: 7b LLM, VRAM: 15.2GB, Context: 32K, License: apache-2.0, Code Generating, LLM Explorer Score: 0.19.

Base model:finetune:qwen/qwen2... Base model:qwen/qwen2.5-coder-... Codegen Conversational En Endpoints compatible Qwen2 Region:us Safetensors Sft Sharded Tensorflow Trl Unsloth

Model Card on HF 🤗: https://huggingface.co/lurf21/Qwen2.5-Coder-7B-NEP

Qwen2.5 Coder 7B NEP Parameters and Internals

LLM Name	Qwen2.5 Coder 7B NEP
Repository 🤗	https://huggingface.co/lurf21/Qwen2.5-Coder-7B-NEP
Base Model(s)	Qwen/Qwen2.5-Coder-7B Qwen/Qwen2.5-Coder-7B
Model Size	7b
Required VRAM	15.2 GB
Updated	2026-07-19
Maintainer	lurf21
Model Type	qwen2
Model Files	4.9 GB: 1-of-4 4.9 GB: 2-of-4 4.3 GB: 3-of-4 1.1 GB: 4-of-4
Supported Languages	en
Generates Code	Yes
Model Architecture	Qwen2ForCausalLM
License	apache-2.0
Context Length	32768
Model Max Length	32768
Transformers Version	4.51.3
Tokenizer Class	Qwen2Tokenizer
Padding Token	<\|vision_pad\|>
Vocabulary Size	151669
Torch Data Type	bfloat16
Errors	replace

Rank the Qwen2.5 Coder 7B NEP capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

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